Designerex™ is a peer-to-peer designer dress sharing platform that connects dress owners with those seeking designer wear, fostering a secure marketplace for discovering, booking, and flaunting the next designer dress.
Their innovative approach merges the sharing economy and cutting-edge technology, incorporating real-time ID verification with premium designer clothing.
Collaborating with individual owners and prominent rental businesses, the on-demand revolution has continued to grow worldwide, and with it, Designerex™.
With this growth, Designerex™ faced challenges with the stability and support of their existing AWS platform, along with issues involving the maintenance and support of their infrastructure, coupled with a consistent increase in billing costs.
AC3 conducted a comprehensive cost optimisation assessment of Designerex™’s environment that revealed a substantial number of orphaned Amazon Machine Images (AMI) and snapshots, as well as the utilisation of multiple legacy volumes and RDS.
The inefficiency of legacy instances was also highlighted, emphasising that newer instances could offer improved performance through updated processes, faster hardware, and enhanced virtualisation. The cost-effectiveness of newer instances compared to previous generations was also highlighted.
AC3 suggested the removal of orphaned AMIs and the upgrade of legacy volumes and RDS. This proactive approach was to ensure performance improvements but also to aligned with a cost reduction strategy. For example, orphaned AMIs, on average, incur a cost of about $0.05 per GB-month of stored data.
These proposed measures optimised costs and enhanced performance for Designerex™, providing an opportunity to allocate freed-up funds to other essential projects and growth.